SW神经网络模型,Small World Neural Network
1)Small World Neural NetworkSW神经网络模型
2)BP neural network modelBP神经网络模型
1.The Study on the Forecasting Methods of Urbanization level——Taking BP Neural Network Model as an Example;城市化水平预测方法研究——以BP神经网络模型的应用为例
2.Through the establishment of water environment management information system of Supa River basin, an improved BP neural network model made for the comprehensive assessment on the water quality of the basin concerned is presented in accordance with the condition with better water quality and without any principal economic industries therein.通过建立苏帕河流域水环境管理信息系统,针对苏帕河流域没有主要经济产业、水质较好的状况,侧重于介绍建立改进的BP神经网络模型对流域的水质进行综合评价。
3.It is introduced that the BP neural network model of prediction of mining collapse is established based on the survey′s data and main factors at a mine field where the collapse had happen.依据某煤炭开采区的勘察资料 ,综合考虑影响采空塌陷的主要因素 ,建立了预测采空塌陷的 BP神经网络模型。
英文短句/例句

1.A study on application of BP neural networks model in intestinal cancerBP神经网络模型在肠癌中的应用研究
2.Research of software reliability BP neural network model based on MATLAB基于MATLAB的软件可靠性BP神经网络模型
3.The BP Neural Network Model on the Venture Capital Exit Decision of Decision风险投资退出决策的BP神经网络模型
4.Model of BP Neural Network Based on Immune Genetic Algorithm基于免疫遗传算法的BP神经网络模型
5.Neural networks modeling of project estimate for small and medium-size water projects;中小型水利工程的工程量估算BP神经网络模型
6.Research on the Application of the BP Nerve Network Model for the Financial Investment Risk Appraisal;金融投资风险评价BP神经网络模型研究及应用
7.Research and Application of BP Neural Network Model Optimization;BP神经网络的模型优化研究及应用
8.Model of compensation for coal mine subsidence based on BP neural network;基于BP神经网络的煤矿沉陷补偿模型
9.Coal requirement forecasting model of improved BP neural network;改进的BP神经网络煤炭需求预测模型
10.AN ASSESSMENT MODEL OF ENTERPRISE CREDIT BASED ON BP NEURAL NETWORK;基于BP神经网络的企业信用评估模型
11.A model of evaluating teaching quality based on the BP neural network基于BP神经网络的教学质量评价模型
12.Research on BP Neural Network Model for Corporation Credit Rating企业资信的BP神经网络评估模型研究
13.The quality predication of hot rolling production base on BP networks基于BP神经网络的热轧板带质量模型
14.ANN-Based Metallogenic Prognosis Model基于BP人工神经网络的成矿预测模型
15.Research on evaluating model of BP neural networks in MCAI softwareMCAI软件BP神经网络评价模型
16.Study on BP Neural Networks Model for Evaluating Equipment Acquisition Risk装备采购风险的BP神经网络评价模型
17.Spotweld modeling modification research based on BP NN基于BP神经网络的点焊模型修正研究
18.Predicting Model of Draft Resistance to the Model Blade Based on BP Neural Network基于BP神经网络的模型铲刀推土阻力预测模型
相关短句/例句

BP neural network modelBP神经网络模型
1.The Study on the Forecasting Methods of Urbanization level——Taking BP Neural Network Model as an Example;城市化水平预测方法研究——以BP神经网络模型的应用为例
2.Through the establishment of water environment management information system of Supa River basin, an improved BP neural network model made for the comprehensive assessment on the water quality of the basin concerned is presented in accordance with the condition with better water quality and without any principal economic industries therein.通过建立苏帕河流域水环境管理信息系统,针对苏帕河流域没有主要经济产业、水质较好的状况,侧重于介绍建立改进的BP神经网络模型对流域的水质进行综合评价。
3.It is introduced that the BP neural network model of prediction of mining collapse is established based on the survey′s data and main factors at a mine field where the collapse had happen.依据某煤炭开采区的勘察资料 ,综合考虑影响采空塌陷的主要因素 ,建立了预测采空塌陷的 BP神经网络模型。
3)Neural Network model神经网络模型
1.Application of neural network model in petroleum resource predication;人工神经网络模型在石油资源预测中的应用
2.Artificial neural network model supporting decision-making of product procedure;支持产品方案决策的人工神经网络模型构建
3.Urban forest remote sensing investigation based on neural network model technology in the main city of Nanjing;基于神经网络模型技术的南京市主城区城市森林遥感调查
4)artificial neural network神经网络模型
1.Studies on Planthoppers Occurrence Degree with the Artificial Neural Network;稻飞虱发生程度的神经网络模型拟合研究
2.The electric-thermal parameters of the bridgewire electric explosive device such as resistance and heat loss coefficient were measured with the non-destructive transient pulse test system under non-destructive conditions,then the no-firing current of the electric explosive device was predicated using the Rosenthal mathematical model and the back-propagation(BP) artificial neural network model.通过瞬态脉冲无损检测试验得到桥丝式电火工品的电阻和集总热散失系数等电热响应参数,利用这些电热响应参数分别采用Rosenthal的集总热参数模型和BP神经网络模型方法预测电火工品的安全电流。
3.In this paper,a knowledge based artificial neural network is used to model the microstrip radial stub.本文采用基于知识的人工神经网络模型模拟微带径向短截线的特性 ,利用已经具有的先验知识减小神经网络输入输出映射关系的复杂程度有效减少了训练样本的数量 。
5)neural network神经网络模型
1.The factors affecting the deformation of surrounding rock in tunnel are complicated and uncertain, however, neural network can not allow for the quantitative but the qualitative factors, this ability of neural network is suitable to forecast the deformation of the surrounding rock in tunnel.系统分析了影响巷道围岩变形的因素,构建了巷道围岩变形预测的神经网络模型,经过改进的网络模型具有较好的收敛性和稳定性。
2.The neural network model with input of vibration frequency about melt flow rate, crystallite structure as well as stretch strength of polymer products was established.利用实验数据 ,分析与研究振动场振动参数对聚合物挤出制品质量的影响 ,对聚合物挤出制品的熔体流动速率、微晶结构、拉伸强度等主要性能质量指标 ,建立以振动频率为主要控制变量的神经网络模型 ,并引入信息分配模型 ,探讨了一个网络输入节点下神经网络学习样本的特征提取与优化。
3.This article expounds the predictable principle and the method of time series and neural network models.阐述了时间序列模型和BP神经网络模型预测的原理和方法。
6)artificial neural network model神经网络模型
1.The electric-thermal parameters of the bridgewire electric explosive device was measured with the non-destructive transient pulse test system,then the function tim of the electric explosive device was forecasted using the meathematical model and the artificial neural network model.通过瞬态脉冲无损检测试验得到桥丝式电点火头的电热响应参数,利用电热响应参数分别采用数学模型和人工神经网络模型预测电点火头的发火时间,并与实测发火时间进行比较。
2.Based on the establishment of risk evaluation index system about engineering project investment,introduces a new method, which applies the artificial neural network(ANN) into risk evaluation, and constructs a artificial neural network model that can solve the deficiencies of the other methods.在建立工程项目投资风险评价指标体系的基础上,提出了将人工神经网络应用于工程项目投资风险评价中的综合评价方法,建立了人工神经网络模型,较好的解决了以往的评价方法中存在的人为确定权重的不足。
3.The back propagation (BP) networks mode calculating the designed lowest navigable stage is established on artificial neural network model principle.在分析影响水利枢纽下游河段设计最低通航水位因素的基础上 ,将设计最低通航水位计算问题概括为一种非线性输入输出的泛函关系 ,以人工神经网络原理建立推算水利枢纽下游河段设计最低通航水位的BP神经网络模型 。
延伸阅读

[3-(aminosulfonyl)-4-chloro-N-(2.3-dihydro-2-methyl-1H-indol-1-yl)benzamide]分子式:C16H16ClN3O3S分子量:365.5CAS号:26807-65-8性质:暂无制备方法:暂无用途:用于轻、中度原发性高血压。